Dosya Biçimi"Yok" Bilgisayar Mühendisliği Bölümü Tez Koleksiyonu için listeleme
Toplam kayıt 91, listelenen: 41-60
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Estımatıng Instrumentatıon Data Acquıred Durıng Flıght Test From A Helıcopter Engıne Usıng Predıctor Models
(Fen Bilimleri Enstitüsü, 2021)Flight test of a helicopter is the most dangerous phase of its development project. Any minor mistake or miscalculation during a test could lead to a catastrophic accident. In order to protect the health of a helicopter ... -
Eşler Arası Ağlarda Makine Öğrenimi Destekli Tutarlılık Temelli Güven Yönetimi
(Fen Bilimleri Enstitüsü, 2022-08-01)Peer-to-peer (P2P) networks first emerged with file sharing and distribution applications. P2P networks continue their popularity with new usage areas such as cryptocurrencies, NFTs, and metaverse platforms. While peer-to-peer ... -
Evaluatıng the Use of Neural Rankıng Methods in Search Engınes
(Fen Bilimleri Enstitüsü, 2022)A search engine strikes a balance between effectiveness and efficiency to retrieve the best documents in a scalable way. Recent deep learning-based ranker methods prove effective and improve state of the art in relevancy ... -
Evolutionary Dynamic Optimization for Dynamic Trust Management in Vehicular Ad Hoc Networks
(Fen Bilimleri Enstitüsü, 2023-06-09)Trust management in vehicular ad hoc networks (VANETs) is a challenging dynamic optimization problem due to their decentralized, infrastructureless, and dynamically changing topology. Evolutionary computation (EC) algorithms ... -
Explaining Artificial Neural Networks With Decision Tree Ensembles
(Fen Bilimleri Enstitüsü, 2023)With the development of efficient algorithms, artificial intelligence (AI) applications have become ubiquitous in almost every aspect of our lives. They have even started to be used in critical areas such as defense industry, ... -
Extensive Cryptanalysis of Authenticated Encryption With Associated Data Algorithm Colm
(Fen Bilimleri Enstitüsü, 2023-07-04)The main objective of an Authenticated Encryption with Associated Data (AEAD) algorithm is to keep the encrypted plaintext secret until its tag is validated. There are two main methods related to the cryptanalysis of AEAD ... -
Flight Maneuver Classification Using Artificial Neural Networks
(Fen Bilimleri Enstitüsü, 2023)There are globally known basic flight maneuvers performed by fighter and aerobatics pilots with agile aircraft. These basic flight maneuvers have strict rules that the pilots should follow to complete the maneuver and ... -
Fractıonal Order Feedback Control of Nonlınear Aerıal Systems
(Fen Bilimleri Enstitüsü, 2019-11-12)In this dissertation, a system of Fractional Order Proportional Integral Derivative controller is introduced and implemented to a radar guided missile in order to track a high-speed flying target. Many novel intelligent ... -
Generating Illustrations for Children Books Using Generative Adversarial Networks
(Fen Bilimleri Enstitüsü, 2022)This thesis presents a very first method to create children illustration book images. Our method takes edge maps or sketches as input and generates images and/or videos stylized by the selected illustrator. To achieve this, ... -
Generatıng Storıes From Large Scale Image Collectıons
(Fen Bilimleri Enstitüsü, 2020)Making sense of ever-growing amount of visual data that is available on the web is one of the biggest challenges we face today. As a step towards this goal, this study tackles a relatively less-studied topic in the literature, ... -
Hibrit Analiz Kullanarak Android Kötücül Yazılım Aile Sınıflandırması
(Fen Bilimleri Enstitüsü, 2021-12-31)With the developments in mobile and wireless technology, mobile devices have become an important part of our lives. While Android is the leading operating system in the market share, it is also the most targeted platform ... -
Integration Testing Maturity Assessment for Safety Critical Avionics Software
(Fen Bilimleri Enstitüsü, 2023)Safety-critical software failures lead to serious results such as loss of live or damage to the environment; therefore, safety-critical software verification requires special attention. Avionics system software is one type ... -
İkili Arka Plan Destekli Yazar - Bağımsız Yazarlık Doğrulama Sistemi
(Fen Bilimleri Enstitüsü, 2020)Authorship verification is a decision problem that tries to find out whether the text of an unknown author belongs to a suspicious author. The problem is the fundamental one of the studies in authorship analysis that has ... -
İnsansız Hava Araçlarında Bulunan Kameralar Kullanılarak Orman Yangınlarının Tespit Edilmesi
(Fen Bilimleri Enstitüsü, 2023)Unmanned aerial vehicles(UAVs) are invaluable technologies thanks to their remote control and monitoring capabilities. Operational forces and firefighters use UAVs in wildfire detection missions. Due to their high pattern ... -
Keyframe Extraction Using Linear Rotation Invariant Coordinates
(Fen Bilimleri Enstitüsü, 2022)Today, with the improvements in the processing power of video cards, SOC hardware, and smartphones, the use of 3D motion data has expanded considerably beyond video games. At the same time, through these developments, the ... -
Kurumsal Kaynak Planlama Yazılımı Geliştirme İçin Alan Özgü Olgunluk Modeli
(Fen Bilimleri Enstitüsü, 2021)Enterprise Resource Planning (ERP) is an integrated management system that enables efficient use of resources such as labor, machinery and materials required for the production of goods and services in enterprises. ERP ... -
Learning Based Image and Video Editing
(Fen Bilimleri Enstitüsü, 2019-12-05)Image and video editing encompasses the wide range of image operations to give desired visual effects to a given image or video either for improving various visual properties such as color, contrast, luminance or better ... -
Learning Heuristics Towards Solving Combinatorial Optimization Problems
(Fen Bilimleri Enstitüsü, 2022)We introduce a learning framework towards the approximation of the maximum clique enumeration problem. We make use of node classification to eliminate the least likely nodes to be in a maximum clique and reduce the input ... -
Learning Sign Languages with Limited Supervision and Semantic Representations
(Fen Bilimleri Enstitüsü, 2022-06)Sign languages evolve and change over time, much like spoken languages. It is impractical to annotate the signs of a sign language for supervised learning. Scalable recognition modalities are needed for SLR especially for ... -
Leveragıng Semantıc Salıency Maps For Query-Specıfıc Vıdeo Summarızatıon
(Fen Bilimleri Enstitüsü, 2022)Automatic video summarization is a technique that allows us to easily understand and analyze large amount of visual data. Methods in the literature do this by dividing the video into certain parts and assigning a significance ...